Emotion Recognition with Forearm Based Electromyography

Rashid, Muhammad Shihab; Zaman, Zubayet

dc.contributor.author	Rashid, Muhammad Shihab
dc.contributor.author	Zaman, Zubayet
dc.date.accessioned	2020-10-27T10:52:37Z
dc.date.available	2020-10-27T10:52:37Z
dc.date.issued	2018-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/577
dc.description	Supervised by Mr. Hasan Mahmud, Assistant Professor, Dept. of CSE, IUT	en_US
dc.description.abstract	Electromyography is an unexplored field of study when it comes to alternate input methods while interacting with a computer. Gesture based interaction has become widely popular because of its ease of use. In this paper we discuss about two layers of Electromyography. Whether EMG can be used as an alternate input modality and can give better experience that traditional devices and in the second layer we try to talk about whether EMG data can be used to detect human emotions such as anger or fear. We have prepared an experiment to compare two input methods, one is traditional one and another our muscle wearable device. Then we plan to evaluated the results to find , users have better experience with our wearable device.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh	en_US
dc.title	Emotion Recognition with Forearm Based Electromyography	en_US
dc.type	Thesis	en_US